Hany S. Abdel-Khalik

Works (16)

Updated: July 5th, 2023 15:50

2015 article

Advancing Inverse Sensitivity/Uncertainty Methods for Nuclear Fuel Cycle Applications

Arbanas, G., Williams, M. L., Leal, L. C., Dunn, M. E., Khuwaileh, B. A., Wang, C., & Abdel-Khalik, H. (2015, January 1). Nuclear Data Sheets.

By: G. Arbanas *, M. Williams *, L. Leal *, M. Dunn *, B. Khuwaileh n, C. Wang n, H. Abdel-Khalik n

topics (OpenAlex): Nuclear reactor physics and engineering; Nuclear Materials and Properties; Nuclear Engineering Thermal-Hydraulics
TL;DR: It is shown how the IS/UQ method could be applied to systematic and statistical uncertainties in a self-consistent way and how it could be used to optimize uncertainties of IBEs and differential cross section data simultaneously. (via Semantic Scholar)
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7. Affordable and Clean Energy (OpenAlex)
Source: Web Of Science
Added: August 6, 2018

2015 article

Subspace-based Inverse Uncertainty Quantification for Nuclear Data Assessment

Khuwaileh, B. A., & Abdel-Khalik, H. S. (2015, January 1). Nuclear Data Sheets.

By: B. Khuwaileh n & H. Abdel-Khalik n

topics (OpenAlex): Nuclear reactor physics and engineering; Nuclear Materials and Properties; Probabilistic and Robust Engineering Design
TL;DR: A subspace-based algorithm for inverse sensitivity/uncertainty quantification (IS/UQ) has been developed to enable analysts account for all sources of nuclear data uncertainties in support of target accuracy assessment-type analysis. (via Semantic Scholar)
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7. Affordable and Clean Energy (OpenAlex)
Source: Web Of Science
Added: August 6, 2018

2014 conference paper

Development of subspace-based hybrid Monte Carlo-deterministic algorithms for reactor physics calculations

Proceedings of the 21st International Conference on Nuclear Engineering - 2013, vol 6.

By: Q. Zhang & H. Abdel-Khalik

Source: NC State University Libraries
Added: August 6, 2018

2014 article

Global variance reduction for Monte Carlo reactor physics calculations

Zhang, Q., & Abdel-Khalik, H. S. (2014, September 26). Nuclear Engineering and Design.

By: Q. Zhang n & H. Abdel-Khalik n

topics (OpenAlex): Stochastic Gradient Optimization Techniques; Probabilistic and Robust Engineering Design; Nuclear reactor physics and engineering
TL;DR: It is found that using the SUBSPACE method significant speedup can be achieved over the state of the art FW-CADIS method, and it is believed this work will become a major step on the way of leveraging the accuracy of MC calculations for assembly calculations. (via Semantic Scholar)
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7. Affordable and Clean Energy (OpenAlex)
Source: Web Of Science
Added: August 6, 2018

2013 article

Exact-to-precision generalized perturbation theory for eigenvalue problems

Wang, C., & Abdel-Khalik, H. S. (2013, January 12). Nuclear Engineering and Design.

By: C. Wang n & H. Abdel-Khalik n

topics (OpenAlex): Probabilistic and Robust Engineering Design; Nuclear reactor physics and engineering; Model Reduction and Neural Networks
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Source: Web Of Science
Added: August 6, 2018

2013 article

Stochastic Higher-Order Generalized Perturbation Theory for Neutron Diffusion and Transport Calculations

Wang, C., & Abdel-Khalik, H. S. (2013, July 29).

By: C. Wang n & H. Abdel-Khalik n

topics (OpenAlex): Probabilistic and Robust Engineering Design; Nuclear reactor physics and engineering; Wind and Air Flow Studies
TL;DR: This manuscript will be focus on presenting the own developments of stochastic higher-order generalized perturbation theory to address the explosion in the computational load burden of large-scale system with large number of Degrees of Freedom. (via Semantic Scholar)
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16. Peace, Justice and Strong Institutions (OpenAlex)
Source: NC State University Libraries
Added: August 6, 2018

2012 article

Adjoint-based sensitivity analysis for multi-component models

Abdel-Khalik, H. S. (2012, February 22). Nuclear Engineering and Design.

By: H. Abdel-Khalik n

topics (OpenAlex): Probabilistic and Robust Engineering Design; Advanced Multi-Objective Optimization Algorithms; Optimal Experimental Design Methods
TL;DR: This manuscript presents a hybrid approach to enable the transfer of sensitivity information between the various components in an efficient manner that precludes the need for a global sensitivity analysis procedure. (via Semantic Scholar)
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Source: Web Of Science
Added: August 6, 2018

2012 article

Generalized Perturbation Theory-Free Sensitivity Analysis for Eigenvalue Problems

Kennedy, C., Rabiti, C., & Abdel-Khalik, H. (2012, August 1). Nuclear Technology.

By: C. Kennedy n, C. Rabiti * & H. Abdel-Khalik n

author keywords: generalized perturbation theory; reduced order modeling; sensitivity analysis
topics (OpenAlex): Nuclear reactor physics and engineering; Probabilistic and Robust Engineering Design; Model Reduction and Neural Networks
TL;DR: This paper introduces a reduced-order modeling approach based on subspace methods that requires the solution of the fundamental adjoint equations but allows the generation of response sensitivities without the need to set up GPT equations, and that provides an estimate of the error resulting from the reduction. (via Semantic Scholar)
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Source: Web Of Science
Added: August 6, 2018

2012 article

Hybrid biasing approaches for global variance reduction

Wu, Z., & Abdel-Khalik, H. S. (2012, October 17). Applied Radiation and Isotopes.

By: Z. Wu n & H. Abdel-Khalik n

author keywords: Hybrid Monte Carlo; DT approach; FW-CADIS; Gaussian process; Global variance reduction
topics (OpenAlex): Probabilistic and Robust Engineering Design; Soil Geostatistics and Mapping; Statistical Methods and Bayesian Inference
TL;DR: A new variant of Monte Carlo-deterministic (DT) hybrid variance reduction approach based on Gaussian process theory is presented and compared with Forward-Weighted Consistent Adjoint Driven Importance Sampling approach implemented in the SCALE package from Oak Ridge National Laboratory. (via Semantic Scholar)
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Source: Web Of Science
Added: August 6, 2018

2012 article

Hybrid reduced order modeling applied to nonlinear models

Bang, Y., Abdel‐Khalik, H. S., & Hite, J. M. (2012, July 1). International Journal for Numerical Methods in Engineering.

By: Y. Bang n, H. Abdel‐Khalik n & J. Hite n

author keywords: nonlinear sensitivity analysis; reduced order modeling; subspace methods
topics (OpenAlex): Model Reduction and Neural Networks; Probabilistic and Robust Engineering Design; Numerical methods for differential equations
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Source: Web Of Science
Added: August 6, 2018

2012 article

Overview of hybrid subspace methods for uncertainty quantification, sensitivity analysis

Abdel-Khalik, H. S., Bang, Y., & Wang, C. (2012, October 6). Annals of Nuclear Energy.

By: H. Abdel-Khalik n, Y. Bang n & C. Wang n

author keywords: Uncertainty quantification; Sensitivity analysis; Variational methods; Sampling methods
topics (OpenAlex): Probabilistic and Robust Engineering Design; Nuclear reactor physics and engineering; Nuclear Engineering Thermal-Hydraulics
TL;DR: The manuscript intends to serve as a pedagogical presentation of the material to young researchers and practitioners with little background on the subjects to address the explosion in the computational overhead required when handling real-world complex engineering systems. (via Semantic Scholar)
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Source: Web Of Science
Added: August 6, 2018

2012 article

Projection-based second order perturbation theory

Bang, Y., & Abdel-Khalik, H. S. (2012, September 19). Annals of Nuclear Energy.

By: Y. Bang n & H. Abdel-Khalik n

author keywords: Nonlinear sensitivity analysis; Higher order perturbation theory; Projection
topics (OpenAlex): Nuclear reactor physics and engineering; Probabilistic and Robust Engineering Design; Model Reduction and Neural Networks
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Source: Web Of Science
Added: August 6, 2018

2012 article

State-Based Adjoint Method for Reduced Order Modeling

Bang, Y., Wang, C., & Abdel-Khalik, H. S. (2012, January 1). Transport Theory and Statistical Physics.

By: Y. Bang n, C. Wang n & H. Abdel-Khalik n

author keywords: initial conditions perturbation; reduced order modeling; subspace reduction; adjoint methods
topics (OpenAlex): Model Reduction and Neural Networks; Probabilistic and Robust Engineering Design; Numerical methods for differential equations
Source: Web Of Science
Added: August 6, 2018

2011 article

Exact-to-precision generalized perturbation theory for source-driven systems

Wang, C., & Abdel-Khalik, H. S. (2011, October 18). Nuclear Engineering and Design.

By: C. Wang n & H. Abdel-Khalik n

topics (OpenAlex): Nuclear reactor physics and engineering; Nuclear Physics and Applications; Nuclear Engineering Thermal-Hydraulics
TL;DR: New developments to perturbation theory are intended to extend its applicability to estimate, with quantifiable accuracy, the exact variations in all responses calculated by the model with respect to all possible perturbations in the model's input parameters. (via Semantic Scholar)
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Source: Web Of Science
Added: August 6, 2018

2011 article

Many-Group Cross-Section Adjustment Techniques for Boiling Water Reactor Adaptive Simulation

Jessee, M. A., Turinsky, P. J., & Abdel-Khalik, H. S. (2011, September 1). Nuclear Science and Engineering.

By: M. Jessee n, P. Turinsky n & H. Abdel-Khalik n

topics (OpenAlex): Nuclear reactor physics and engineering; Nuclear Physics and Applications; Probabilistic and Robust Engineering Design
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6. Clean Water and Sanitation (OpenAlex)
Source: Web Of Science
Added: August 6, 2018

2009 article

A comparative study of ZPR-6/7 with MCNP/5 and MC2-2/REBUS

Masood, I., Hany, A.-K., & Paul, T. (2009, April 3). Annals of Nuclear Energy.

By: I. Masood n, A. Hany n & T. Paul n

topics (OpenAlex): Nuclear reactor physics and engineering; Nuclear Materials and Properties; Graphite, nuclear technology, radiation studies
UN Sustainable Development Goals Color Wheel
UN Sustainable Development Goal Categories
7. Affordable and Clean Energy (OpenAlex)
Source: Web Of Science
Added: August 6, 2018

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